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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A network pharmacology-based study on Alzheimer disease prevention and treatment of Qiong Yu Gao
|
|---|---|
| Published in |
BioData Mining, April 2020
|
| DOI | 10.1186/s13040-020-00212-z |
| Pubmed ID | |
| Authors |
Jie-shu You, Chen-yue Li, Wei Chen, Xia-lin Wu, Li-jie Huang, Ren-kai Li, Fei Gao, Ming-yue Zhang, Huan-lan Liu, Wei-ling Qu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Student > Master | 5 | 16% |
| Researcher | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 4 | 13% |
| Agricultural and Biological Sciences | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 May 2020.
All research outputs
#3,267,462
of 23,204,238 outputs
Outputs from BioData Mining
#72
of 312 outputs
Outputs of similar age
#80,302
of 376,851 outputs
Outputs of similar age from BioData Mining
#2
of 2 outputs
Altmetric has tracked 23,204,238 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 376,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.